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Google Engineering Jobs in Florida (NOW HIRING)

Spot Pet Insurance

Engineering Manager

Miami, FL · On-site

Knowledge of cloud services and infrastructure management, including AWS, Azure, or Google Cloud. * Experience in startup or high-growth environments, particularly scaling engineering teams and ...

DS2

Senior Software Engineer - Army T&E

Niceville, FL · On-site

$100K - $120K/yr

Who is DS2? DS2 provides full life-cycle software engineering services to DoW, federal, and ... Received one or more Scrum, Microsoft, Google Developer certifications or any other technical ...

DS2

Senior Software Engineer - Army T&E

Niceville, FL · On-site

$100K - $120K/yr

Who is DS2? DS2 provides full life-cycle software engineering services to DoW, federal, and ... Received one or more Scrum, Microsoft, Google Developer certifications or any other technical ...

(ds)2.io

Senior Software Engineer - Army T&E

Tallahassee, FL · On-site

$106K - $140K/yr

Who is DS2? DS2 provides full life-cycle software engineering services to DoW, federal, and ... Google Developer certifications or any other technical certifications Benefits -- What we do for ...

(ds)2.io

Senior Software Engineer - Army T&E

Tallahassee, FL · On-site

$106K - $140K/yr

Who is DS2? DS2 provides full life-cycle software engineering services to DoW, federal, and ... Google Developer certifications or any other technical certifications Benefits -- What we do for ...

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How much do google engineering jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for google engineering in Florida is $23.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $28.37 per hour, depending on experience, location, and employer.

What kind of engineers does Google Engineering hire?

Google Engineering hires a variety of engineers including software engineers, hardware engineers, site reliability engineers, and data engineers. Candidates typically have strong programming skills, experience with relevant tools and technologies, and often hold degrees in computer science, electrical engineering, or related fields.

How do Google engineers typically collaborate across teams to deliver complex projects?

At Google, engineers frequently work in cross-functional teams that include product managers, designers, and other engineers from diverse technical backgrounds. Collaboration is facilitated through regular meetings, code reviews, and use of internal communication tools like Google Meet and shared documentation. Engineers often participate in design reviews and brainstorming sessions to ensure alignment and innovation. This collaborative environment helps tackle large-scale challenges and encourages knowledge sharing, which is crucial for delivering high-impact products.

What does a Google engineer do?

Google engineers are responsible for designing, developing, testing, and maintaining the software and systems that power Google's products and services. Their work ranges from building scalable infrastructure to creating innovative applications used by billions of people worldwide. Google engineers often collaborate in teams, solve complex technical challenges, and continuously optimize performance, security, and user experience.

What are the key skills and qualifications needed to thrive as a Google engineer?

To thrive as a Google Engineer, you need a strong background in computer science fundamentals, programming proficiency (often in languages like Python, Java, or C++), and typically a bachelor's or higher degree in a related field. Familiarity with cloud platforms (such as Google Cloud), version control systems like Git, and experience with large-scale distributed systems are commonly expected. Excellent problem-solving abilities, teamwork, and effective communication are crucial soft skills for success in Google's collaborative and innovative environment. These skills and qualities are vital to deliver impactful, scalable solutions and to contribute effectively within diverse and fast-paced teams.
Google Engineering jobs near you
Infographic showing various Google Engineering job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $49,040 per year, or $23.6 per hour.

Google Cloud Platform Application Technical Lead/ Architect

K-Tek Resourcing LLC

Sunrise, FL • On-site

Other

Posted 9 days ago

Job description

Role: Google Cloud Platform Application Technical Lead/ Architect

Location: Sunrise, FL (Onsite)

Job Description:

  • 10+ years of commercial software development experience.
  • Design and implement scalable CCaaS and IVA solutions leveraging leading cloud and enterprise conversational AI/customer service platforms, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, and speech-to-text/text-to-speech capabilities.
  • Develop secure and resilient cloud infrastructure on Google Cloud Platform using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery. Experience with IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.

Key Responsibilities

  • Implement and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialers, omnichannel capabilities, and campaign management while ensuring scalable, secure, and compliant contact center operations.
  • Lead integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configurations, and migration from legacy contact center platforms to cloud-based solutions.
  • Design, develop, and maintain data pipelines, models, and datasets supporting CCaaS data platforms while ensuring data quality, reliability, security, and compliance.

Skill Requirements"

  • Experience building and integrating AI/ML solutions such as XGBoost, SARIMA, Prophet, TensorFlow, and prompt-engineering-based applications into production environments.
  • Strong understanding of the ML model lifecycle, including evaluation, hyperparameter tuning, monitoring, governance, bias mitigation, and explainability.
  • Experience with Agile development methodologies, CI/CD, DevOps, and observability practices.
  • Hands-on experience with Kafka, relational databases, and/or NoSQL databases.
  • Strong understanding of data structures, algorithms, and design patterns, with a proactive mindset toward continuous improvement.

Apply